https://github.com/javierluraschi/voxels

Interactive voxel rendering using R
https://github.com/javierluraschi/voxels

3d 3dengine interactive minecraft rstats visualization voxels

Last synced: 8 days ago
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Interactive voxel rendering using R

• Host: GitHub
• URL: https://github.com/javierluraschi/voxels
• Owner: javierluraschi
• License: other
• Created: 2019-03-23T17:24:54.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-05-23T21:11:32.000Z (over 5 years ago)
• Last Synced: 2024-12-19T04:51:40.237Z (21 days ago)
• Topics: 3d, 3dengine, interactive, minecraft, rstats, visualization, voxels
• Language: JavaScript
• Homepage: http://rpubs.com/jluraschi/voxels-intro-r
• Size: 4.49 MB
• Stars: 12
• Watchers: 4
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE

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README

        
---

title: "Interactive Voxels Rendering"

---

[![Build Status](https://travis-ci.org/javierluraschi/pins.svg?branch=master)](https://travis-ci.org/javierluraschi/pins) [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/pins)](https://cran.r-project.org/package=pins) ![](https://img.shields.io/badge/lifecycle-experimental-red.svg)

The [voxels](https://github.com/javierluraschi/voxels) is under-development R package that provides interacte voxels rendering.

## Installation

Install the package as follows:

```{r eval=FALSE}

install.packages("remotes")

remotes::install_github("javierluraschi/voxels")

```

## Getting Started

You can easily launch a voxel explorer and editor,

```{r fig.height=7, fig.width=9}

voxels::voxels()

```

pass your own 3D matrix to render voxels from it,

```{r fig.width=9}

voxels::voxels(array(c(

    0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1,

    0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1,

    0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1,

    0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1,

    0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1,

    1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,

    1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,

    1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,

    1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,

    1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

), dim=c(19, 5, 2)), offset = c(-10, 0, 0))

```

or use many interesting R packages to perform interactive visualizations. For instance, we can add some perlin noise to simulate terrain generation:

```{r fig.width=9}

library(magrittr)

set.seed(123245)

ceiling(ambient::noise_perlin(c(20, 6, 20)) * 10) %>%

  voxels::voxels(offset = c(-20, 0, -20))

```

Please note that this package is still under-development!